Using RVC

You can find the full documentation for this project on SocAIty/Retrieval-based-Voice-Conversion-FastAPI.

Setting Up RVC Locally

Step 1 - Clone the repository

Clone the repository and navigate to the project directory.

git clone [e-mail]:SocAIty/Retrieval-based-Voice-Conversion-FastAPI.git rvc
cd rvc

Step 2 - Run the setup script

Execute the run.sh script to set up the environment.

sh ./run.sh

Step 3 - Open and disconnect the web interface

After running the script, the inference web interface will open. You can disconnect it once it's loaded.

Step 4 - Modify rvc_fastapi.py for CORS support

To allow CORS (Cross-Origin Resource Sharing), add the following two lines to rvc_fastapi.py:

from fastapi.middleware.cors import CORSMiddleware

app.add_middleware(CORSMiddleware, allow_origins=["*"])

Step 5 - Place your model files in the logs and assets/weights directories

You can get voice models from voice-models.com.

Ensure the rvc/logs directory contains the following file:

• Index file: The index file for your voice model, named something like added_IVF1377_Flat_nprobe_1_{model_name}_v2.index.

Ensure the rvc/assets/weights directory contains the following file:

• Model file: The voice model file, with the extension .pth, for example {model_name}.pth.

Step 6 - Run the FastAPI server

Once the changes are made and the model is placed in the appropriate directories, run the FastAPI server using the following command:

python rvc_fastapi.py

Make sure RVC is enabled alongside other TTS systems

Settings -> Text-to-Speech -> RVC